<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-9ENTLZ31</identifier><date>2024</date><creator>Ali, Huda A.</creator><creator>Aljabery, Maalim A.</creator><creator>Sabir, Aliea</creator><relation>documents/doc/9/URN_NBN_SI_doc-9ENTLZ31_001.pdf</relation><relation>documents/doc/9/URN_NBN_SI_doc-9ENTLZ31_001.txt</relation><format format_type="volume">48</format><format format_type="issue">7</format><format format_type="type">article</format><format format_type="extent">str. 103-112</format><identifier identifier_type="DOI">10.31449/inf.v48i7.5535</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">214992131</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-9ENTLZ31</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">analiza sentimenta</subject><subject language_type_id="slv">ChatGPT</subject><subject language_type_id="slv">klasifikacija</subject><subject language_type_id="slv">komentarji</subject><subject language_type_id="slv">naravni jezik</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>ChatGPT tweets sentiment analysis using machine learning and data classification</title></Record>